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sample size
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Why does almost everything become statistically significant with a large sample?
Large samples do not bias a test toward rejecting a true null; they detect tiny real differences. How to tell significant from important.
Read the answer →t test or Mann-Whitney in small samples: how do you choose?
Why a normality pre-check is a weak way to pick a t test or a rank test with small n, what a power simulation shows, and where permutation tests fit.
Read the answer →How are alpha and beta (Type I and Type II error rates) related?
Why lowering alpha raises beta, why the trade-off is not linear or a fixed ratio, and what a Bonferroni correction does to power.
Read the answer →Does a t test need a minimum sample size?
Why no fixed minimum n makes a t test valid, what small samples really cost (power and robustness), and how to justify your sample size.
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